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      Tiger Analytics

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      Ricerche correlate: Recensioni su Tiger Analytics | Offerte di lavoro di Tiger Analytics | Stipendi di Tiger Analytics | Benefit di Tiger Analytics
      Colloqui di Tiger AnalyticsColloqui per AI/ML Engineer presso Tiger AnalyticsColloquio di Tiger Analytics


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      Colloquio per AI/ML Engineer

      10 dic 2024
      Candidato anonimo a colloquio
      Chennai
      Nessuna offerta
      Esperienza positiva
      Colloquio facile

      Candidatura

      Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto un giorno. Ho sostenuto un colloquio presso Tiger Analytics (Chennai) nel mese di nov 2024

      Colloquio

      First they have kept test which has aptitude and coding and for every section there is specific round. I have passed this. And in interview they have asked about python code because my role is ML engineer

      Domande di colloquio [1]

      Domanda 1

      They have asked what is yield,decorators and they have given one question and told to do it in list comprehension s and they have given some basic questions and also difference between list,tuple and dictionary and at last they have given 2 sum problem
      Rispondi alla domanda

      Altre recensioni di colloqui per AI/ML Engineer presso Tiger Analytics

      Colloquio per AI/ML Engineer

      14 apr 2026
      Dipendente anonimo
      Hyderabad
      Offerta accettata
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho sostenuto un colloquio presso Tiger Analytics (Hyderabad)

      Colloquio

      1. Technical Round 1: Foundational Technical Knowledge Focus: Core Python skills (data handling, loops), SQL (joins, aggregations), and foundational ML concepts (supervised/unsupervised learning, model evaluation). Key Topics: Data structures, basic coding questions (often LeetCode easy-medium), data manipulation using libraries like Pandas. Board Infinity Board Infinity +3 2. Technical Round 2: In-depth Project Discussion & Advanced Topics Focus: Deep dive into past project implementations, technical challenges, and specialized knowledge (e.g., RAG-related, transformers, AWS, or data engineering tools like Spark). Key Topics: Detailed walkthrough of end-to-end workflows (preprocessing, feature engineering, model selection), and complex scenario-based questions. AmbitionBox AmbitionBox +3 3. HR Round: Behavioral and Cultural Fit Focus: Behavioral questions, career goals, communication skills, and compensation discussions. Key Topics: Alignment with company culture, team collaboration, handling conflicts, and passion for analytics.
      1

      Colloquio per AI/ML Engineer

      6 mar 2024
      Candidato anonimo a colloquio
      New York, NY
      Nessuna offerta
      Esperienza negativa
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto 4 mesi. Ho sostenuto un colloquio presso Tiger Analytics (New York, NY) nel mese di dic 2023

      Colloquio

      I recently had the displeasure of interacting with Tiger Analytics and must say it was a frustrating and unprofessional experience from start to finish. After a screening call with one of their recruiters, I was asked about my availability for a technical round. Despite promptly providing my availability for the upcoming days, I didn't hear anything back for a whole month. Out of the blue, I received an email inviting me to a technical round interview, scheduled for the very next day. While I appreciate the opportunity, the suddenness of the invite left me scrambling to rearrange my schedule to accommodate it. This lack of consideration for candidates' time was the first red flag in my interaction with Tiger Analytics. Nevertheless, I managed to attend the technical round, hoping that it would lead to a smoother process ahead. However, it's been a staggering two months since the interview, and I've heard nothing from Tiger Analytics. Despite reaching out multiple times to inquire about the status of my application, I have been met with silence. This complete lack of communication and transparency is unacceptable. It reflects poorly on Tiger Analytics' professionalism and leaves candidates feeling disregarded and undervalued. It's evident that their recruitment process is disorganized and inefficient, with little regard for the candidates' time or experience. I strongly advise potential candidates to think twice before considering a career opportunity with Tiger Analytics. If this is how they treat candidates during the recruitment process, one can only imagine the lack of support and consideration one might receive as an employee.

      Domande di colloquio [2]

      Domanda 1

      graph based coding question that needs to be done in python language
      Rispondi alla domanda

      Domanda 2

      Describe AI/ML engineer's project and follow up with questions based on description.
      Rispondi alla domanda
      3

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